Daniel Knowles

Daniel Knowles

Senior Software Engineer | AI Systems | Full-Stack | Analytics

Software engineer with experience building scalable, production-grade systems across AI, backend infrastructure, and user-facing applications. Proven ability to design and ship complex systems end-to-end, from data modeling and APIs to intelligent agent systems and analytics pipelines, with measurable impact on performance, scale, and user experience.

KEY ACHIEVEMENTS

  • Improved ML-driven customer service response accuracy by ~70% using FastText at enterprise scale
  • Increased AI system performance by ~90%, enabling real-time LLM-powered interactions in production
  • Contributed to distributed system supporting 15M+ passports and 4M+ visas annually across 70+ countries
  • Built and scaled a real-time peer-support platform handling thousands of messages with moderation and AI systems

EXPERIENCE

EXCLAIM RECOVERY — CTO (Remote)

September 2025 – Present

  • Led architecture and full refactor of a multi-platform system (web, mobile, AI backend), significantly improving performance, scalability, and maintainability.
  • Built and scaled a peer-support platform for gambling addiction, supporting hundreds of active users and processing thousands of messages, including real-time chat, AI-assisted guidance, and a full reporting and moderation system; stress-tested by Gaming Laboratories International (GLI) and referenced in external publications.
  • Improved AI system performance by ~90%, optimizing latency and throughput for real-time LLM-driven interactions.
  • Designed and deployed a monorepo powering a Next.js web app, React Native mobile app, and AI services backed by PostgreSQL/Prisma.
  • Built and scaled "Hope AI," an LLM-powered system using LangGraph with multi-source RAG, long-term memory, and behavioral analysis pipelines.
  • Implemented real-time systems (Ably) and full authentication architecture (NextAuth, OAuth, JWT) across platforms.
  • Delivered 500+ production PRs, driving rapid iteration and system reliability.

Tulane School of Architecture — SEO & Analytics Consultant

September 2025 – Present

  • Conducted large-scale technical SEO audits across 4,000+ URLs, identifying and resolving crawl errors, metadata inconsistencies, and indexation issues.
  • Reduced crawl inefficiencies by removing low-value and broken pages from sitemap, improving site health and search visibility.
  • Implemented GA4 + GTM event tracking for admissions funnels and user engagement, enabling end-to-end visibility into user journeys and conversion intent.
  • Built analytics dashboards (Looker Studio) to track program interest, admissions funnel performance, and student engagement.
  • Improved site structure and content organization to better capture and analyze prospective student behavior.

EXCLAIM RECOVERY — Technical Lead, Application Development (Remote)

April 2025 – September 2025

  • Built AI-driven systems for sentiment analysis, crisis detection, and behavioral tracking, enabling real-time intervention and improved user safety.
  • Developed agent-based architectures using LangGraph, OpenAI, and LangChain.
  • Designed scalable backend services with Node.js, Prisma, and PostgreSQL.

CGI FEDERAL — Consultant (Remote)

June 2022 – December 2023

FSG, Atlas360 — Consultant

August 2022 – December 2023

  • Contributed to a distributed system supporting 15M+ passports and 4M+ visas annually across 70+ countries, ensuring high availability at global scale.
  • Built and optimized React-based UI integrated with Microsoft Dynamics 365 and Python APIs, enabling real-time, ML-assisted customer service workflows.
  • Improved ML-driven response classification accuracy by ~70% using FastText, delivering instant, context-aware responses and significantly increasing caseworker efficiency.
  • Engineered messaging and queue-based systems using Azure (including dead-letter queue handling) to support high-volume automated communications.
  • Developed a comprehensive automated testing suite for Microsoft Dynamics CRM, reducing manual QA effort and accelerating feature delivery and UX validation.
  • Supported global production deployments across multiple regions, collaborating with international teams under high-demand conditions.
  • Contributed to large-scale operational rollouts across countries, supporting customer service teams with extended coverage during critical launches.

ESG, CAST — Consultant

June 2022 – August 2022

  • Designed and implemented REST APIs using Java Spring Boot for a greenfield internal platform.
  • Developed Angular frontend components and integrated backend services.
  • Built unit testing suite (JUnit, Mockito) ensuring reliability of core business logic.
  • Modeled relational data using JPA and optimized data access patterns.

OPERATION SPARK — Teaching Assistant

June 2021 – July 2022

  • Mentored students in software engineering, debugging, and problem-solving techniques.

PROJECTS

Intergalactic Code Academy: https://ica-app-teal.vercel.app/gameInteractive coding education platform with game-based progression and canvas-driven UI.

DistortNewYork: https://distortnewyork.comEvent aggregation platform for NYC venues.

RealWorldNews: https://realworldnews.orgMulti-source news aggregation and search platform.

Portfolio: https://danicodes.orgFull-stack and AI project showcase.

CORE SKILLS

Languages: JavaScript, TypeScript, Python, C#
Frameworks: React, Next.js, React Native, Node.js, Spring Boot, .NET
AI / ML: LangGraph, OpenAI, Anthropic, LangChain, RAG pipelines, vector search
Data & Backend: PostgreSQL, Prisma, REST APIs, distributed systems
Infrastructure: AWS, Azure, Docker, Kubernetes
Analytics: GA4, Google Tag Manager, Looker Studio

EDUCATION

Operation Spark — Advanced Software Engineering Immersive

June 2021

ADDITIONAL

Languages: English (Native), Spanish (Fluent)